Event Abstract

Macaque fMRI For Studying Cortical Reorganization

  • 1 Max Planck Institute for Biological Cybernetics, Germany
  • 2 University of Manchester, United Kingdom
  • 3 Department of Psychology, Stanford University, United States
  • 4 Baylor College of Medicine, United States

The ability of networks of neurons to undergo plastic rearrangement represents a general organizing principle of the nervous system and has been demonstrated to persist in adulthood in several areas, including motor, visual, auditory and somatosensory cortex. To date animal models appropriate for studying recovery after cerebrovascular injury remain scarce. Paradigms developed in the rodent, though valuable, are far removed from human physiology and have restricted behavioral repertoires, which limits the type of questions they can be used to address. By contrast, a macaque model of cortical reorganization based on fMRI is closer to human physiology, has a rich behavioral repertoire and can be compared directly to fMRI results from human patients. This makes it highly versatile for testing experimental hypotheses on the nature of plasticity, and for gauging the global effect of pharmacologic or rehabilitative manipulations on neuronal recovery after cortical injury. In my talk, I shall describe the emergence of macaque fMRI as an animal paradigm/tool for studying cortical plasticity, and expound on the two examples from the retina, and V1 lesions.

Conference: 10th International Conference on Cognitive Neuroscience, Bodrum, Turkey, 1 Sep - 5 Sep, 2008.

Presentation Type: Oral Presentation

Topic: Symposium 5: Plasticity of a life time

Citation: Logothetis N, Wandell B and Smirnakis SM (2008). Macaque fMRI For Studying Cortical Reorganization. Front. Hum. Neurosci. Conference Abstract: 10th International Conference on Cognitive Neuroscience. doi: 10.3389/conf.neuro.09.2009.01.028

Received: 27 Nov 2008; Published Online: 27 Nov 2008.

* Correspondence: Stelios M Smirnakis, Baylor College of Medicine, Houston, United States, ssmirnakis@cns.bcm.edu

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